Data Analytics Team Lead

Role overview

Lead a small analytics team while remaining directly involved in the data work that measures and improves document-processing quality. The role spans analytics strategy, team development, pipeline building, experimentation, and machine-learning evaluation. Its central goal is to expand measurement coverage and make product quality and performance visible to technical and business partners.

Responsibilities

- Own the analytics roadmap, manage and develop analysts, conduct regular one-to-ones and performance reviews, and contribute to hiring. - Build and maintain data collection, processing, and labeling pipelines using SQL and Python, and personally conduct analyses. - Develop an end-to-end metric framework for quality across the document-processing pipeline. - Create reporting and dashboards that reveal weak points and give ML, product, and leadership teams actionable insights. - Partner with machine-learning colleagues on data preparation, model-quality evaluation, and benchmarking. - Design and interpret rigorous A/B tests across mobile and server systems; improve data and labeling quality controls.

Requirements

- Experience leading or managing an analytics team, with a willingness to stay hands-on in analysis and implementation. - Strong Python skills and ability to write maintainable, reusable code. - Strong SQL skills and experience with columnar or analytical databases. - Solid statistical knowledge and experimental design skills, including evaluating significance and test power. - Ability to turn unclear data needs into specific engineering tasks and explain their business value. - High ownership, sound judgment, and clear communication in an evolving environment.

Nice to have

- Experience evaluating machine-learning products and working with ML teams. - Familiarity with data labeling workflows and methods for measuring and maintaining label quality. - Exposure to identity documents, OCR, or computer-vision pipelines.

Benefits and work setup

The source describes flexible working hours and workplace arrangements, an open vacation policy, and a culture emphasizing autonomy, responsibility, feedback, and professional development.